Intelligent Reflecting Surface Assisted NOMA Integrated Sensing, Communication and Computation Systems

Integrated Sensing, Communication, and Computing (ISCC) combines sensing, communication, and computing functions to improve spectrum efficiency and reduce hardware costs. However, poor link quality in the presence of obstructions leads to high offloading latency. This paper explores the use of intelligent reflecting surface and non-orthogonal multiple access in ISCC systems to enhance link reliability and improve computation offloading efficiency. A latency minimization problem is formulated by jointly optimizing computing, sensing, and communication parameters. Due to the strong coupling of the optimization variables, the problem is decomposed into two modules: computational design and sensing/communication design, which are optimized alternately to achieve a high-quality, stable solution. Simulation results demonstrate that the proposed system significantly reduces task processing latency, and ensures both user sum rate and radar sensing performance, offering a promising approach to enhance ISCC systems under resource-constrained environments.